January 1, 2025Open Access

Experimental Validation Techniques Specific to Automated Maintenance Processes

Key Points

Using experimental validation techniques significantly boosts the reliability of automated maintenance systems, ensuring more consistent performance.
The application of data analytics revealed a marked improvement in efficiency during the automated maintenance processes, particularly in industrial settings.
Simulation models and field tests were utilized to create a robust framework, effectively evaluating performance metrics and outcomes.
These findings indicate that such validation methods can enhance accuracy and reliability, suggesting broader applications in the automation sector.

Abstract

This article studies experimental validation methods properly modified and adapted to be used in automated maintenance processes. The prescriptive maintenance system involves data analytics to rigorously examine automated systems' reliability and efficiency. Due to an increase in the usage of automation in maintenance operations, this article presents a systematic framework that employs simulation models and field tests. A case study illustrates the application of the aforementioned techniques in an industrial setting, examining key performance measurements and the way they have been implemented. Found data indicates the fact that using these techniques in the proposed manner boosts the reliability and accuracy of the automated systems.

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